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Acceptance Rate of AI Conferences
Natural Language Processing and Computational Linguistics
| Conference | Long Paper | Short Paper |
|---|---|---|
| ACL’14 | 26.2% (146/572) | 26.1% (139/551) |
| ACL’15 | 25.0% (173/692) | 22.4% (145/648) |
| ACL’16 | 28.0% (231/825) | 21.0% (97/463) |
| ACL’17 | 25.0% (195/751) | 18.9% (107/567) |
| ACL’18 | 25.3% (258/1018) | 24.0% (126/526) |
| ACL’19 | 25.7% (447/1737) | 18.2% (213/1168) |
| ACL’20 | 25.4% (571/2244) | 17.6% (208/1185) |
| ACL’21 | 21.3% (?/3350) (Long+Short) | 14.9% (?/3350) (Findings) |
| EMNLP’14 | 30.4% (155/510) | 27.8% (70/252) |
| EMNLP’15 | 26.2% (157/600) | 22.1% (155/700) |
| EMNLP’16 | 25.8% (177/687) | 21.8% (87/400) |
| EMNLP’17 | 25.8% (216/836) | 18.4% (107/582) |
| EMNLP’18 | 25.5% (351/1376) | 23.2% (198/855) |
| EMNLP’19 | 25.6% (465/1813) | 20.5% (218/1063) |
| EMNLP’20 | 22.4% (754/3359) (Long+Short) | 15.5% (520/3359) (Findings) |
| NAACL-HLT’13 | 30.0% (88/293) | 32.1% (51/162) |
| NAACL-HLT’15 | 29.1% (117/402) | 22.1% (69/312) |
| NAACL-HLT’16 | 25.3% (100/396) | 28.9% (82/284) |
| NAACL-HLT’18 | 32.0% (207/647) | 29.4% (125/425) |
| NAACL-HLT’19 | 26.3% (281/1067) | 21.3% (142/666) |
| NAACL-HLT’21 | ~28% (350/?) | ~23% (127/?) |
| COLING’12 | 27% (311/1000+) | - |
| COLING’14 | 30.8% (217/705) | - |
| COLING’16 | 32.4% (337/1039) | - |
| COLING’18 | 37.4% (332/888) | - |
| COLING’20 | 33.4% (622/1862) | - |
Computer Vision and Pattern Recognition
| Conference | Long Paper | Short Paper |
|---|---|---|
| CVPR’14 | 29.9% (540/1807) (104 orals and 436 posters) | - |
| CVPR’15 | 28.3% (602/2123) (71 orals and 531 posters) | - |
| CVPR’16 | 29.9% (643/2145) (83 orals, 123 spotlights and 437 posters) | - |
| CVPR’17 | 29.9% (783/2620) (71 orals, 144 spotlights and 568 posters) | - |
| CVPR’18 | 29.6% (979/3303) (70 orals, 224 spotlights and 685 posters) | - |
| CVPR’19 | 25.0% (1294/5160) (288 short orals and 1294 posters) | - |
| CVPR’20 | 22.1% (1470/6656) | - |
| CVPR’21 | 23.7% (1661/7015) (295 orals and 1366 posters) | - |
| ICCV’13 | 27.9% (454/1629) (41 orals and 413 posters) | - |
| ICCV’15 | 30.9% (525/1698) | - |
| ICCV’17 | 29.0% (621/2143) (45 orals, 56 spotlights and 520 posters) | - |
| ICCV’19 | 25.0% (1077/4304) (187 short orals and 1077 posters) | - |
| ECCV’14 | 27.9% (363/1444) (38 orals and 325 posters) | - |
| ECCV’16 | 26.6% (415/1561) (28 orals, 45 spotlights and 342 posters) | - |
| ECCV’18 | 31.8% (776/2439) (59 orals and 717 posters) | - |
| ECCV’20 | 27.1% (1361/5025) (104 orals, 161 spotlights and 1096 posters) | - |
Machine Learning and Learning Theory
| Conference | Long Paper | Short Paper |
|---|---|---|
| ICML’14 | 15.0% (Cycle I), 22.0% (Cycle II) | - |
| ICML’15 | 26.0% (270/1037) | - |
| ICML’16 | 24.0% (322/?) | - |
| ICML’17 | 25.9% (434/1676) | - |
| ICML’18 | 25.1% (621/2473) | - |
| ICML’19 | 22.6% (773/3424) | - |
| ICML’20 | 21.8% (1088/4990) | - |
| ICML’21 | 21.5% (1184/5513) (166 long talks, 1018 short talks) | - |
| NeurIPS’14 | 24.7% (414/1678) | - |
| NeurIPS’15 | 21.9% (403/1838) | - |
| NeurIPS’16 | 23.6% (569/2403) | - |
| NeurIPS’17 | 20.9% (678/3240) (40 orals, 112 spotlights and 526 posters) | - |
| NeurIPS’18 | 20.8% (1011/4856) (30 orals, 168 spotlights and 813 posters) | - |
| NeurIPS’19 | 21.1% (1428/6743) (36 orals, 164 spotlights and 1228 posters) | - |
| NeurIPS’20 | 20.1% (1900/9454) (105 orals, 280 spotlights and 1515 posters) | - |
| ICLR’14 | - | - |
| ICLR’15 | - | - |
| ICLR’16 | - | - |
| ICLR’17 | 39.1% (198/507) (15 orals and 183 posters) | - |
| ICLR’18 | 32.0% (314/981) (23 orals and 291 posters) | - |
| ICLR’19 | 31.4% (500/1591) (24 orals and 476 posters) | - |
| ICLR’20 | 26.5% (687/2594) (48 orals, 107 spotlights and 532 posters) | - |
| ICLR’21 | 28.7% (860/2997) (53 orals, 114 spotlights and 693 posters) | - |
| COLT’14 | 32.1% (45/140) | - |
| COLT’15 | 34.8% (62/178) | - |
| COLT’16 | 26.1% (53/203) | - |
| COLT’17 | 32.5% (74/228) | - |
| COLT’18 | 27.2% (91/335) | - |
| COLT’19 | 30.0% (118/393) | - |
| COLT’20 | 30.9% (120/388) | - |
| UAI’14 | 32.0% (94/292) | - |
| UAI’15 | 34.0% (99/291) | - |
| UAI’16 | 31.0% (85/275) | - |
| UAI’17 | 31.0% (87/282) | - |
| UAI’18 | 30.8% (104/337) | - |
| UAI’19 | 26.0% (118/450) | - |
| UAI’20 | 27.5% (142/515) | - |
| AISTATS’14 | 35.8% (120/335) | - |
| AISTATS’15 | 28.7% (127/442) | - |
| AISTATS’16 | 30.7% (165/537) | - |
| AISTATS’17 | 31.7% (168/530) | - |
| AISTATS’18 | 33.2% (214/645) | - |
| AISTATS’19 | 32.4% (360/1111) | - |
| AISTATS’20 | - | - |
| AISTATS’21 | 29.8% (455/1527) (48 orals) | - |
Artificial Intelligence
| Conference | Long Paper | Short Paper |
|---|---|---|
| AAAI’14 | 28.0% (398/1406) | - |
| AAAI’15 | 26.7% (531/1991) | - |
| AAAI’16 | 25.8% (549/2132) | - |
| AAAI’17 | 24.6% (638/2590) | - |
| AAAI’18 | 24.6% (933/3800) | - |
| AAAI’19 | 16.2% (1150/7095) | - |
| AAAI’20 | 20.6% (1591/7737) | - |
| AAAI’21 | 21.4% (1692/7911) | - |
| IJCAI’13 | 28.0% (413/1473) | - |
| IJCAI’15 | 28.6% (572/1996) | - |
| IJCAI’16 | 24.0% (551/2294) | - |
| IJCAI’17 | 26.0% (660/2540) | - |
| IJCAI’18 | 20.5% (710/3470) | - |
| IJCAI’19 | 17.9% (850/4752) | - |
| IJCAI’20 | 12.6% (592/4717) | - |
| IJCAI’21 | 13.9% (587/4204) | - |
Data Mining and Information Retrieval
| Conference | Long Paper | Short Paper |
|---|---|---|
| KDD’14 | 14.6% (151/1036) | - |
| KDD’15 | 19.5% (160/819) | - |
| KDD’16 | 13.7% (142/1115) | - |
| KDD’17 | 17.4% (130/748) | - |
| KDD’18 | 18.4% (181/983) (107 orals and 74 posters) | - |
| KDD’19 | 14.2% (170/1200) (110 orals and 60 posters) | - |
| KDD’20 | 16.9% (216/1279) | - |
| SIGIR’14 | 21.0% (82/387) | 40.0% (104/263) |
| SIGIR’15 | 20.0% (70/351) | 31.3% (79/252) |
| SIGIR’16 | 18.0% (62/341) | 30.6% (104/339) |
| SIGIR’17 | 22.0% (78/362) | 30.0% (121/398) |
| SIGIR’18 | 21.0% (86/409) | 30.0% (98/327) |
| SIGIR’19 | 19.7% (84/426) | 24.4% (108/443) |
| SIGIR’20 | 26.5% (147/555) | 30.2% (153/507) |
| SIGIR’21 | 21.0% (151/720) | 27.6% (145/526) |
| TheWebConf’14 | 13.0% (84/645) | - |
| TheWebConf’15 | 14.0% (131/929) | - |
| TheWebConf’16 | 16.0% (115/727) | - |
| TheWebConf’17 | 17.0% (164/966) | - |
| TheWebConf’18 | 15.0% (171/1140) | - |
| TheWebConf’19 | 18.0% (225/1247) | 19.9% (72/361) |
| TheWebConf’20 | 19.2% (217/1129) | 24.7% (98/397) |
| TheWebConf’21 | 20.6% (357/1736) | - |
| WSDM’14 | 18.0% (64/355) | - |
| WSDM’15 | 16.4% (39/238) | - |
| WSDM’16 | 18.2% (67/368) | - |
| WSDM’17 | 15.8% (80/505) | - |
| WSDM’18 | 16.1% (84/514) | - |
| WSDM’19 | 16.4% (84/511) | - |
| WSDM’20 | 14.8% (91/615) | - |
| WSDM’21 | 18.6% (112/603) | - |
| CIKM’14 | 21.0% (175/838) | 21.9% (57/260) |
| CIKM’15 | 26.0% (165/646) | 25.0% (69/276) |
| CIKM’16 | 23.0% (160/701) | 23.5% (55/234) |
| CIKM’17 | 20.0% (171/855) | 28.4% (119/419) |
| CIKM’18 | 17.0% (147/862) | 23.2% (96/413) |
| CIKM’19 | 19.4% (200/1030) | 21.3% (100/470) |
| CIKM’20 | 21.0% (193/920) | 25.9% (103/397) |
| ICDM’14 | 9.8% (71/727) | 9.8% (71/727) |
| ICDM’15 | 8.4% (68/807) | 9.7% (78/807) |
| ICDM’16 | 8.6% (78/904) | 11.0% (100/904) |
| ICDM’17 | 9.3% (72/778) | 10.7% (83/778) |
| ICDM’18 | 8.9% (84/948) | 11.1% (105/948) |
| ICDM’19 | 9.1% (95/1046) | 9.5% (99/1046) |
| ICDM’20 | 9.8% (91/930) | 9.9% (92/930) |
| RecSys’15 | 23.0% (35/152) | - |
| RecSys’16 | 18.2% (29/159) | - |
| RecSys’17 | 20.8% (26/125) | 16.4% (20/122) |
| RecSys’18 | 17.7% (32/181) | - |
| RecSys’19 | 19.0% (36/189) | - |
| RecSys’20 | 17.9% (39/218) | - |
Speech and Signal Processing
| Conference | Long Paper | Short Paper |
|---|---|---|
| INTERSPEECH’14 | - | - |
| INTERSPEECH’15 | 51.0% (~743/1458) | - |
| INTERSPEECH’16 | 50.5% (779/1541) | - |
| INTERSPEECH’17 | 52.0% (799/1582) | - |
| INTERSPEECH’18 | 54.3% (749/1320) | - |
| INTERSPEECH’19 | 49.3% (914/1855) | - |
| INTERSPEECH’20 | ~47% (?/?) | - |
| ICASSP’14 | 48.0% (1709/3500) | - |
| ICASSP’15 | 52.0% (1207/2322) | - |
| ICASSP’16 | 47.0% (1265/2682) | - |
| ICASSP’17 | 52.0% (1220/2518) | - |
| ICASSP’18 | 49.7% (1406/2829) | - |
| ICASSP’19 | 46.5% (1774/3815) | - |
| ICASSP’21 | 48.0% (1734/3610) | - |